Multicriteria-decision support for master plan scheduling: urban regeneration of an industrial area in Northern Italy

Abstract

Urban regeneration programs involve a series of intricate activities that utilize human, material, and financial resources, executed at varying times and in diverse manners. Within this complex scenario, a major challenge lies in effectively managing concurrent developments across multiple buildings and infrastructure projects, while also harmonizing the interests of all parties engaged in urban regeneration initiatives. This paper introduces a multi-step strategy designed to enhance and streamline urban management amid the multifaceted decision-making processes characteristic of urban regeneration efforts. Specifically, the multi-criteria decision-making model ELECTRE TRI-B is employed to sort the array of basic tasks within a complex transformation endeavor into priority groups based on various evaluative criteria. To ascertain the significance of these criteria and rank each task according to the interests of the stakeholders likely to be impacted, a panel of specialists, including construction experts, economists, and environmental assessors, is convened. Following this, project actions are organized in a Gantt chart reflecting the construction priority determined by the evaluation model. This approach facilitated the temporal organization of master plan activities, incorporating insights from a broad spectrum of experts including municipal technical staff, professionals, and the community at large. The findings indicate that this comprehensive and interactive approach to performance measurement enabled the handling of extensive datasets and the refinement of financial, economic, environmental, and social resources, all while adhering to logical constraints and urban policy demands.

Keywords:

• Multi-criteria decision analysis (MCDA)
• urban design
• urban regeneration
• project management
• urban sustainability

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The authors confirm that the data supporting the findings of this study are available within the article